Jaehun Kim

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 38

Top Topics

Unsupervised Learning

Top Venues

IACR Cryptol. ePrint Arch.

Publications

Tan Dat Nguyen, Ji-Hoon Kim, Youngjoon Jang, Jaehun Kim, Joon Son Chung
Fregrad: Lightweight and Fast Frequency-Aware Diffusion Vocoder. ICASSP (2024)
Ji-Hoon Kim, Jaehun Kim, Joon Son Chung
Let There Be Sound: Reconstructing High Quality Speech from Silent Videos. AAAI (2024)
Tan Dat Nguyen, Ji-Hoon Kim, Youngjoon Jang, Jaehun Kim, Joon Son Chung
FreGrad: Lightweight and Fast Frequency-aware Diffusion Vocoder. CoRR (2024)
Matthew C. McCallum, Matthew E. P. Davies, Florian Henkel, Jaehun Kim, Samuel E. Sandberg
On The Effect Of Data-Augmentation On Local Embedding Properties In The Contrastive Learning Of Music Audio Representations. ICASSP (2024)
Florian Henkel, Jaehun Kim, Matthew C. McCallum, Samuel E. Sandberg, Matthew E. P. Davies
Tempo estimation as fully self-supervised binary classification. CoRR (2024)
Suyeon Lee, Chaeyoung Jung, Youngjoon Jang, Jaehun Kim, Joon Son Chung
Seeing Through The Conversation: Audio-Visual Speech Separation Based on Diffusion Model. ICASSP (2024)
Florian Henkel, Jaehun Kim, Matthew C. McCallum, Samuel E. Sandberg, Matthew E. P. Davies
Tempo Estimation as Fully Self-Supervised Binary Classification. ICASSP (2024)
Matthew C. McCallum, Florian Henkel, Jaehun Kim, Samuel E. Sandberg, Matthew E. P. Davies
Similar but Faster: Manipulation of Tempo in Music Audio Embeddings for Tempo Prediction and Search. ICASSP (2024)
Matthew C. McCallum, Matthew E. P. Davies, Florian Henkel, Jaehun Kim, Samuel E. Sandberg
On the Effect of Data-Augmentation on Local Embedding Properties in the Contrastive Learning of Music Audio Representations. CoRR (2024)
Matthew C. McCallum, Florian Henkel, Jaehun Kim, Samuel E. Sandberg, Matthew E. P. Davies
Similar but Faster: Manipulation of Tempo in Music Audio Embeddings for Tempo Prediction and Search. CoRR (2024)
Suyeon Lee, Chaeyoung Jung, Youngjoon Jang, Jaehun Kim, Joon Son Chung
Seeing Through the Conversation: Audio-Visual Speech Separation based on Diffusion Model. CoRR (2023)
Ji-Hoon Kim, Jaehun Kim, Joon Son Chung
Let There Be Sound: Reconstructing High Quality Speech from Silent Videos. CoRR (2023)
Andres Ferraro, Jaehun Kim, Sergio Oramas, Andreas F. Ehmann, Fabien Gouyon
Contrastive Learning for Cross-Modal Artist Retrieval. ISMIR (2023)
Andres Ferraro, Jaehun Kim, Sergio Oramas, Andreas F. Ehmann, Fabien Gouyon
Contrastive Learning for Cross-modal Artist Retrieval. CoRR (2023)
Hongjun Lim, Yeon-Chang Lee, Jin-Seo Lee, Sanggyu Han, Seunghyeon Kim, Yeon Jeong Jeong, Changbong Kim, Jaehun Kim, Sunghoon Han, Solbi Choi, Hanjong Ko, Dokyeong Lee, Jaeho Choi, Yungi Kim, Hong-Kyun Bae, Taeho Kim, Jeewon Ahn, Hyun-Soung You, Sang-Wook Kim
AiRS: A Large-Scale Recommender System at NAVER News. ICDE (2022)
Jaehun Kim, Cynthia C. S. Liem
The power of deep without going deep? A study of HDPGMM music representation learning. ISMIR (2022)
Taeyeong Kim, Jaehun Kim, Insang You, Joosung Oh, Sung-Phil Kim, Unyong Jeong
Dynamic tactility by position-encoded spike spectrum. Sci. Robotics 7 (63) (2022)
Jaehun Kim
Increasing trust in complex machine learning systems: studies in the music domain. SIGIR Forum 55 (1) (2021)
Jaehun Kim, Julián Urbano, Cynthia C. S. Liem, Alan Hanjalic
One deep music representation to rule them all? A comparative analysis of different representation learning strategies. Neural Comput. Appl. 32 (4) (2020)
Jung Ho Lee, Beomju Shin, DongHyun Shin, Jaehun Kim, Jinwoo Park, Taikjin Lee
Precise Indoor Localization: Rapidly-Converging 2D Surface Correlation-Based Fingerprinting Technology Using LTE Signal. IEEE Access 8 (2020)
Jaehun Kim, Andrew M. Demetriou, Sandy Manolios, Maria Stella Tavella, Cynthia C. S. Liem
Butter Lyrics Over Hominy Grit: Comparing Audio and Psychology-Based Text Features in MIR Tasks. ISMIR (2020)
Jaehun Kim, Sung-Phil Kim, Jungjun Kim, Heeseon Hwang, Jaehyun Kim, Doowon Park, Unyong Jeong
Object shape recognition using tactile sensor arrays by a spiking neural network with unsupervised learning. SMC (2020)
Hyemin Ahn, Jaehun Kim, Kihyun Kim, Songhwai Oh
Generative Autoregressive Networks for 3D Dancing Move Synthesis from Music. CoRR (2019)
Jaehun Kim, Julián Urbano, Cynthia C. S. Liem, Alan Hanjalic
Are Nearby Neighbors Relatives? Testing Deep Music Embeddings. Frontiers Appl. Math. Stat. 5 (2019)
Jaehun Kim, Stjepan Picek, Annelie Heuser, Shivam Bhasin, Alan Hanjalic
Make Some Noise. Unleashing the Power of Convolutional Neural Networks for Profiled Side-channel Analysis. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2019 (3) (2019)
Jaehun Kim, Andrew M. Demetriou, Sandy Manolios, Cynthia C. S. Liem
Beyond Explicit Reports: Comparing Data-Driven Approaches to Studying Underlying Dimensions of Music Preference. UMAP (2019)
Hyunwoo Choi, Taesik Gong, Jaehun Kim, Jaemin Shin, Sung-Ju Lee
Use MU-MIMO at your own risk - Why we don't get Gb/s Wi-Fi. Ad Hoc Networks 83 (2019)
Hyunwoo Choi, Taesik Gong, Jaehun Kim, Jaemin Shin, Sung-Ju Lee
Dissecting 802.11ac Performance - Why You Should Turn Off MU-MIMO. MobiSys (2019)
Jaehun Kim, Julián Urbano, Cynthia C. S. Liem, Alan Hanjalic
Are Nearby Neighbors Relatives?: Diagnosing Deep Music Embedding Spaces. CoRR (2019)
Dae-Woong Jeong, Jaehun Kim, Youngseok Kim, Tae-Ho Kim, Myungsu Chae
Effective Network Compression Using Simulation-Guided Iterative Pruning. CoRR (2019)
Jaehun Kim, Minz Won, Xavier Serra, Cynthia C. S. Liem
Transfer Learning of Artist Group Factors to Musical Genre Classification. WWW (Companion Volume) (2018)
Jaehun Kim, Stjepan Picek, Annelie Heuser, Shivam Bhasin, Alan Hanjalic
Make Some Noise: Unleashing the Power of Convolutional Neural Networks for Profiled Side-channel Analysis. IACR Cryptol. ePrint Arch. 2018 (2018)
Jaehun Kim, Julián Urbano, Cynthia C. S. Liem, Alan Hanjalic
One Deep Music Representation to Rule Them All? : A comparative analysis of different representation learning strategies. CoRR (2018)
Stjepan Picek, Ioannis Petros Samiotis, Jaehun Kim, Annelie Heuser, Shivam Bhasin, Axel Legay
On the Performance of Convolutional Neural Networks for Side-Channel Analysis. SPACE (2018)
Stjepan Picek, Ioannis Petros Samiotis, Annelie Heuser, Jaehun Kim, Shivam Bhasin, Axel Legay
On the Performance of Deep Learning for Side-channel Analysis. IACR Cryptol. ePrint Arch. 2018 (2018)
Jaehun Kim, Minz Won, Xavier Serra, Cynthia C. S. Liem
Transfer Learning of Artist Group Factors to Musical Genre Classification. CoRR (2018)
Jaehun Kim, Minz Won, Cynthia C. S. Liem, Alan Hanjalic
Towards Seed-Free Music Playlist Generation: Enhancing Collaborative Filtering with Playlist Title Information. RecSys Challenge (2018)
Chang Wook Kim, Jaehun Kim, Kwangsub Kim, Minz Won
Single and Multi Column Neural Networks for Content-based Music Genre Recognition. MediaEval (2017)